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DBMS > Fujitsu Enterprise Postgres vs. H2 vs. Heroic

System Properties Comparison Fujitsu Enterprise Postgres vs. H2 vs. Heroic

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonH2  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitewww.postgresql.fastware.comwww.h2database.comgithub.com/­spotify/­heroic
Technical documentationwww.postgresql.fastware.com/­product-manualswww.h2database.com/­html/­main.htmlspotify.github.io/­heroic
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyThomas MuellerSpotify
Initial release20052014
Current releaseFujitsu Enterprise Postgres 14, January 20222.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemsLinux
Windows
All OS with a Java VM
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyes infovia Elasticsearch
SQL infoSupport of SQLyesyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Server-side scripts infoStored proceduresuser defined functionsJava Stored Procedures and User-Defined Functionsno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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Fujitsu Enterprise PostgresH2Heroic
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